ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술지 드론 시뮬레이션 기술
Cited - time in scopus Download 291 time Share share facebook twitter linkedin kakaostory
저자
이수전, 양정기, 이병선
발행일
202008
출처
전자통신동향분석, v.35 no.4, pp.81-90
ISSN
1225-6455
출판사
한국전자통신연구원
DOI
https://dx.doi.org/10.22648/ETRI.2020.J.350408
협약과제
20ZS1200, 인간중심의 자율지능시스템 원천기술연구, 김도현
초록
In this paper, we present novel simulation contents for drone racing and autonomous flight of drone. With Depth camera and SLAM, we conducted mapping 3 dimensional environment through RTAB-map. The 3 dimensional map is represented by point cloud data. After that we recovered this data in Unreal Engine. This recovered raw data reflects real data that includes noise and outlier. Also we built drone racing contents like gate and obstacles for evaluating drone flight in Unreal Engine. Then we implemented both HITL and SITL by using AirSim which offers flight controller and ROS api. Finally we show autonomous flight of drone with ROS and AirSim. Drone can fly in real place and sensor property so drone experiences real flight even in the simulation world. Our simulation framework increases practicality than other common simulation that ignore real environment and sensor.
KSP 제안 키워드
Autonomous flight, Depth camera, Point Cloud Data, Real data, Real environment, Simulation framework, Unreal engine, flight controller, noise and outlier, raw data
본 저작물은 공공누리 제4유형 : 출처표시 + 상업적 이용금지 + 변경금지 조건에 따라 이용할 수 있습니다.
제4유형